Preliminary Assessment on the Effect of Bentonite and Ibeshe Clay on Bleaching of Rubber (Hevea Brasiliensis) Seed Oil
Bibliographic record
Abstract
Rubber seed though not common known is very rich in its oil yield and over time its importance is becoming more prominent. Bleaching in the natural sense is relative to the removal of impurities from the oil or material. In this research work, Rubber seed oil was bleached using bentonite clay and Ibeshe clay at 0.5M, 1M and 2M concentrations of Hydrochloric acid. Physiochemical properties as well as spectroscopic analysis such as FT-IR and XRD analysis were carried out and aided in obtaining the bleaching efficiency of both clays. The FT-IR results displayed a visible change in the oil after it was bleached with Ibeshe clay but still retained most its functional group when bleached with bentonite clay. At 2M concentration of the acid, the oil bleached with bentonite showed 53% while with Ibeshe clay it remained at 16%. This summarizes that Ibeshe clay has little to no effect on bleaching performance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".